electric vehicle battery management and improvementLoad consumption pattern with fuzzy modeling

Currently, with the development of energy production technologies, increased attention to environmental issues andInterest to improve the reliability of electrical energy distribution networks, the possibility and the necessary motivation forChanging the distribution networks from passive to active mode and the desire to produce renewable energyThe level of distribution systems is provided. In this article, using the wolf optimization algorithmTo solve the problem of optimal planning of the distribution network in the presence of gray smart parking lots (GWO).Electric cars are paid at the network level. The objective function of the distribution network optimal planning problemIn the presence of electric vehicles, minimizing the cost of network planning, including the cost of network operation,The cost of power delivered by electric vehicles, reducing system losses, improving the quality of network power includedReducing the network peak load and improving the load consumption pattern. In order to solve the multi-objective problemFuzzy method is used for it and fuzzy functions are extracted for each objective functionIt resolves to IEEE. Sample distribution network of 54 standard buses Ⅿax−Ⅿin and with the help of operatorThe title of the studied network is considered and the network development plans in two modes with and withoutThe presence of electric cars are compared to each other.